Shuai Huang
Graduate Research And Teaching Assistant
Tempe, Arizona, United States
Summary
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Senior🎓
Top SchoolShuai Huang is a PhD candidate and Graduate Research and Teaching Assistant at Arizona State University with nine years of experience in statistics, machine learning, and high-dimensional data analysis. His work focuses on sparse learning, graphical models, and quality control applied to biomedical informatics, including PET, MRI and fMRI neuroimaging analysis. Trained in statistics at the University of Science and Technology of China and pursuing Industrial Engineering doctoral research, he blends rigorous statistical theory with practical algorithm development. He collaborates with advisor Jing Li on methods for reliability and data mining in complex biomedical datasets. Based in Tempe, Arizona, Shuai combines academic teaching with active research, positioning him to translate novel sparse and graphical-model techniques into reproducible neuroimaging pipelines. Beyond publications, he brings a strong methodological toolkit for handling high-dimensional, noisy data common in clinical and research settings.
9 years of coding experience
PhD, Industrial Engineering, PhD, Industrial Engineering at Arizona State UniversityB.A, Statistics, B.A, Statistics at University of Science and Technology of ChinaProgramming languages (1)
Github contributions (5)
shuai-huang/GEFM
Apr 2017 - Dec 2019
Contributions:6 commits, 4 pushes, 1 branch in 2 years 8 months
shuai-huang/Channel-Est
Feb 2021 - May 2022
Contributions:5 commits, 4 pushes in 1 year 3 months
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